Neural network ensemble with negatively correlated features for cancer classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2714, Issue , 2003, Pages 1143-1150

  Won, Hong Hee ^a   Cho, Sung Bae ^a  

^a Yonsei University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; DISEASES; NEURAL NETWORKS;

BENCHMARK DATASETS; CANCER CLASSIFICATION; DNA MICROARRAY DATA; ENSEMBLE CLASSIFIERS; LARGE VOLUMES; MICROARRAY TECHNOLOGIES; NEURAL NETWORK CLASSIFIER; NEURAL NETWORK ENSEMBLES;

CLASSIFICATION (OF INFORMATION);

EID: 35048878442     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44989-2_136     Document Type: Article

References (5)

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2. Ben-Dor, A., Bruhn, L., Friedman, N., Nachman, I., Schummer, M. and Yakhini, N., "Tissue classification with gene expression profiles," Journal of Computational Biology, vol. 7, pp. 559-584, 2000.
3. Dudoit, S., Fridlyand, J. and Speed, T. P., "Comparison of discrimination methods for the classification of tumors using gene expression data," Technical Report 576, Department of Statistics, University of California, Berkeley, 2000.
4. Li, L., Weinberg, C. R., Darden, T. A. and Pedersen, L. G., "Gene selection for sample classification based on gene expression data: Study of sensitivity to choice of parameters of the GA/KNN method," Bioinformatics, vol. 17, no. 12, pp. 1131-1142, 2001.
5. Cho, S.-B. and Ryu, J., "Classifying gene expression data of cancer using classifier ensemble with mutually exclusive features," Proc. of the IEEE, vol. 90, no. 11, pp. 1744-1753, 2002.